Senior Machine Learning Engineer
RepeatMD
AWSAzureCloudGoogle Cloud Platform.NETPythonPyTorchReactTensorflow
Senior Machine Learning Engineer – Fraud
Instacart
full-time
Posted on:
Location Type: Remote
Location: Remote • California, Colorado, Connecticut, District of Columbia, Hawaii, Illinois, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Oregon, Pennsylvania, Rhode Island, Texas, Vermont, Virginia, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $196,000 - $263,000 per year
Job Level
Senior
About the role
- Lead the design, development, operational excellence and visioning of ML modeling that power fraud detection and prevention at scale
- Use your expertise to architect robust and scalable solutions for real-time fraud decisioning systems
- Collaborate with cross-functional partners—data scientists, risk managers, and product teams—to define and drive strategies for fraud and identity protection
- Mentor and guide L4 and L5 engineers, fostering technical growth and knowledge sharing within the team
- Solve ambiguous technical and business challenges independently, taking full ownership over outcomes.
Requirements
- 6+ years of professional experience in software engineering in ML modeling development and leadership
- Proven ability to design and operate complex ML modeling at scale (both technical scalability and organizational impact)
- Demonstrated leadership: ability to mentor and level up peers, as well as communicate technical trade-offs with stakeholders
- Passion for fraud and risk tech: a strong grasp of security, real-time decisioning, machine learning systems, or similar domains.
Benefits
- Instacart provides highly market-competitive compensation and benefits
- Offers may vary based on many factors, such as candidate experience and skills required for the role
- Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ML modelingreal-time decisioning systemssoftware engineeringarchitecting solutionsscalable solutionsfraud detectionfraud prevention
Soft skills
leadershipmentoringcommunicationcollaborationproblem-solvingownership
